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Amazon AWS
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You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.
Based on our record, Amazon AWS seems to be a lot more popular than mlsql. While we know about 484 links to Amazon AWS, we've tracked only 2 mentions of mlsql. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Not because infrastructure isn't important. It is. Not because Amazon Web Services (AWS) is a bad platform. It isn't. - Source: dev.to / 15 days ago
The AWS S3 documentation covers all of these in detail. The configuration takes about an hour to get right the first time and rarely needs changes after. - Source: dev.to / 29 days ago
The first pattern is direct-to-storage. The client uploads chunks directly to an object storage service like Amazon S3 using pre-signed URLs. The application server creates the upload session and grants permission but never sees the file bytes. This pattern scales well because the application servers do not handle the upload bandwidth. - Source: dev.to / 29 days ago
AWS Secrets Manager provides managed secrets storage with automatic rotation for RDS databases, Redshift clusters, DocumentDB, and other common services. For applications running on AWS infrastructure, Secrets Manager integrates directly with Lambda, ECS, EKS, and EC2 at the platform level, injecting secrets into the application environment without requiring files on disk or manual retrieval code. - Source: dev.to / about 2 months ago
This approach, popularized by platforms like AWS, helps users make informed decisions about how far to push the boundaries while maintaining realistic expectations about support. - Source: dev.to / 4 months ago
I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being perfect. My supervisors want me to get the files off of docker and onto local files though (probably because they want me making changes here). I've tried running the shell scripts... Source: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: over 4 years ago
Google Cloud Platform - Google Cloud provides flexible infrastructure, end-to-security, modern productivity, and intelligent insights engineered to help your business thrive.
Easy Query Builder - Easy Query Builder (EQB) - is a free program which allows you to create SQL queries to your...
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